Mechanical pointer instrument is widely used in industrial production practice. Timely and accurate identification of the pointer instrument indicating information is one of important means to achieve equipment condition monitoring. A new automatic identification method of pointer instrument information is proposed in this paper by using digital image processing. In the method, image prepossessing is carried out firstly. Then the region segmentation of dial and pointer is realized by contour tracking. Meanwhile, the image transformation algorithm is used to detect the pointer orientation and obtain the straight-line position parameter of the pointer. Spacing relationships of Scale line distance relationship and instrument maximum range are determined on the basis of the existing information. Automatic reading recognition of pointer meter information is come true finally. Experiments show that the automatic reading recognition method presented is accurate, reliable and efficient.

References

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How to cite this paper

Reading Recognition Method of Mechanical Pointer Meter Based on Machine Vision

How to cite this paper: Jianqiang Zhang, Min Zhang, Guowei Qi, Songlin Wu. (2023). Reading Recognition Method of Mechanical Pointer Meter Based on Machine Vision. Engineering Advances, 3(1), 34-38.

DOI: https://dx.doi.org/10.26855/ea.2023.02.007

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Reading Recognition Method of Mechanical Pointer Meter Based on Machine Vision

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